Department of Physical Therapy, Faculty of Medical Rehabilitation Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
Department of Rehabilitation Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Front Public Health. 2024 Jun 14;12:1394380. doi: 10.3389/fpubh.2024.1394380. eCollection 2024.
Postpartum fatigue (PPF) can impair the physical and mental well-being of women. The aims of this study were to assess the associations between fatigue and maternal health-related variables, specifically, sleep quality, depression symptoms, and resilience, and to explore the moderating role of resilience in the relationships between sleep quality, depression symptoms, and fatigue.
This cross-sectional study used data collected from mothers during the postpartum period via an online platform. PPF was assessed using the Fatigue Severity Scale, whereas sleep quality and depression symptoms were assessed using the Pittsburgh Sleep Quality Index and Edinburgh Postnatal Depression Scale, respectively. The Brief Resilience Scale was used to assess resilience. Simple and multiple binary logistic regression analyses were performed to examine the association of each independent variable with PPF and to determine the most significant predictors of PFF. The data were analyzed using SPSS, and structural equation modeling was performed using AMOS 23. A moderation analysis was performed to explore the moderating role of resilience using the Hayes PROCESS macro.
A total of 1,443 postpartum mothers were included in the analysis. The simple binary logistic regression analysis showed that having chronic disease (odds: 1.52; = 0.02), mother's age (odds: 0.97; = 0.03), mother's body mass index (BMI; odds: 1.03; = 0.01), depression symptoms (odds: 1.09; ≤ 0.0001), sleep quality (odds: 1.17; ≤ 0.0001), and resilience (odds: 0.42; p ≤ 0.0001) all contributed to fatigue during postpartum. Multivariate logistic regression showed that the mother's BMI, sleep quality, depression symptoms, and resilience were significant predictors of PPF. Moderation analyses showed that resilience was not a significant moderator between the main effects of sleep quality and fatigue (interaction effect: = 0.01, = 0.31, 95% CI: -0.01 to 0.04) or between the main effects of depression symptoms and fatigue during postpartum (interaction effect: = 0.01, = 0.82, 95% CI: -0.01 to 0.02).
Given the deleterious effects of PPF on maternal health outcomes, factors associated with PPF should be assessed regularly. In addition to mothers' BMI, sleep quality, and depression symptoms, resilience could also be a crucial factor in predicting fatigue severity during this critical time for mothers even though it was not a significant moderator among this sample.
产后疲劳（PPF）会损害妇女的身心健康。本研究旨在评估疲劳与母婴健康相关变量（特别是睡眠质量、抑郁症状和韧性）之间的关联，并探讨韧性在睡眠质量、抑郁症状和疲劳之间关系中的调节作用。
本横断面研究通过在线平台收集产后母亲的数据。使用疲劳严重程度量表评估 PPF，使用匹兹堡睡眠质量指数和爱丁堡产后抑郁量表评估睡眠质量和抑郁症状，使用简要韧性量表评估韧性。采用简单和多元二项逻辑回归分析评估每个自变量与 PPF 的关系，并确定 PFF 的最显著预测因子。采用 SPSS 分析数据，采用 AMOS 23 进行结构方程建模。使用 Hayes PROCESS 宏进行调节分析，以探讨韧性的调节作用。
共纳入 1443 名产后母亲进行分析。简单二元逻辑回归分析显示，患有慢性病（优势比：1.52；=0.02）、母亲年龄（优势比：0.97；=0.03）、母亲体重指数（BMI；优势比：1.03；=0.01）、抑郁症状（优势比：1.09；≤0.0001）、睡眠质量（优势比：1.17；≤0.0001）和韧性（优势比：0.42；p≤0.0001）均与产后疲劳有关。多元逻辑回归显示，母亲的 BMI、睡眠质量、抑郁症状和韧性是 PPF 的显著预测因子。调节分析表明，在睡眠质量和疲劳、抑郁症状和疲劳之间的主要效应中，韧性并不是一个显著的调节因素（交互效应：=0.01，=0.31，95%CI：-0.01 至 0.04）或产后（交互效应：=0.01，=0.82，95%CI：-0.01 至 0.02）。
鉴于 PPF 对母婴健康结局的有害影响，应定期评估与 PPF 相关的因素。除了母亲的 BMI、睡眠质量和抑郁症状外，韧性在这个对母亲来说至关重要的时期预测疲劳严重程度方面也是一个重要因素，尽管在这个样本中，它并不是一个显著的调节因素。
